Drone detection performance in the reflective bands: visible, near infrared, short wave infrared, and extended short wave infrared

Joshua Follansbee; Lindsey Wiley; Patrick Leslie; Charles Revello; Ronald Driggers

doi:10.1117/1.OE.61.9.095106

Drone detection performance in the reflective bands: visible, near infrared, short wave infrared, and extended short wave infrared

Joshua Follansbee, Lindsey Wiley, Patrick Leslie, Charles Revello, Ronald Driggers

Optical Sciences

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Target detection and identification are well-studied problems in the visible and near infrared (IR) bands, with recent work focusing on the short wave IR (SWIR) band. The extended SWIR (eSWIR) band (2 to 2.5 μm) offers an advantage over SWIR due to increased atmospheric transmission, while keeping greater diffraction-limited angular resolution than the midwave IR and longwave IR. eSWIR should additionally improve object-sky contrast due to having lower background sky path radiance than the SWIR. An analysis of the signal-to-noise ratio and contrast for drone imaging in the reflective bands is presented and compared with a Night Vision Integrated Performance Model of drone detection performance using equivalent reflectivities. We find that imaging performance across all four bands is strongly dependent on pixel pitch and contrast.

Original language	English (US)
Article number	095106
Journal	Optical Engineering
Volume	61
Issue number	9
DOIs	https://doi.org/10.1117/1.OE.61.9.095106
State	Published - Sep 1 2022

Keywords

contrast
drones
extended short wave infrared
short wave infrared
target detection

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.OE.61.9.095106

Cite this

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title = "Drone detection performance in the reflective bands: visible, near infrared, short wave infrared, and extended short wave infrared",

abstract = "Target detection and identification are well-studied problems in the visible and near infrared (IR) bands, with recent work focusing on the short wave IR (SWIR) band. The extended SWIR (eSWIR) band (2 to 2.5 μm) offers an advantage over SWIR due to increased atmospheric transmission, while keeping greater diffraction-limited angular resolution than the midwave IR and longwave IR. eSWIR should additionally improve object-sky contrast due to having lower background sky path radiance than the SWIR. An analysis of the signal-to-noise ratio and contrast for drone imaging in the reflective bands is presented and compared with a Night Vision Integrated Performance Model of drone detection performance using equivalent reflectivities. We find that imaging performance across all four bands is strongly dependent on pixel pitch and contrast.",

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AU - Follansbee, Joshua

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AU - Leslie, Patrick

AU - Revello, Charles

AU - Driggers, Ronald

PY - 2022/9/1

Y1 - 2022/9/1

N2 - Target detection and identification are well-studied problems in the visible and near infrared (IR) bands, with recent work focusing on the short wave IR (SWIR) band. The extended SWIR (eSWIR) band (2 to 2.5 μm) offers an advantage over SWIR due to increased atmospheric transmission, while keeping greater diffraction-limited angular resolution than the midwave IR and longwave IR. eSWIR should additionally improve object-sky contrast due to having lower background sky path radiance than the SWIR. An analysis of the signal-to-noise ratio and contrast for drone imaging in the reflective bands is presented and compared with a Night Vision Integrated Performance Model of drone detection performance using equivalent reflectivities. We find that imaging performance across all four bands is strongly dependent on pixel pitch and contrast.

AB - Target detection and identification are well-studied problems in the visible and near infrared (IR) bands, with recent work focusing on the short wave IR (SWIR) band. The extended SWIR (eSWIR) band (2 to 2.5 μm) offers an advantage over SWIR due to increased atmospheric transmission, while keeping greater diffraction-limited angular resolution than the midwave IR and longwave IR. eSWIR should additionally improve object-sky contrast due to having lower background sky path radiance than the SWIR. An analysis of the signal-to-noise ratio and contrast for drone imaging in the reflective bands is presented and compared with a Night Vision Integrated Performance Model of drone detection performance using equivalent reflectivities. We find that imaging performance across all four bands is strongly dependent on pixel pitch and contrast.

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Drone detection performance in the reflective bands: visible, near infrared, short wave infrared, and extended short wave infrared

Abstract

Keywords

ASJC Scopus subject areas

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